---
license: cc-by-4.0
language:
- en
tags:
- legal
- india
- nlp
- knowledge-graph
- matrimonial
- 498a
- judicial
size_categories:
- 1K<n<10K
task_categories:
- text-classification
- token-classification
- summarization
configs:
- config_name: sc
  data_files: sc_enriched.csv
- config_name: hc_karnataka
  data_files: hc_karnataka.csv
- config_name: combined
  data_files: hc_matrimonial.csv
---

# IMLJD — Indian Matrimonial Litigation Judgment Dataset

Computational dataset of **4897 Indian court judgments** on matrimonial disputes (IPC 498A, DV Act, CrPC 482 quashing petitions), built from AWS Open Data judicial archives.

## Dataset Description

Code and knowledge graph: https://gitlab.com/joyboseroy/imljd

| Sub-corpus | Cases | Court | Period | Precision |
|-----------|-------|-------|--------|-----------|
| SC matrimonial | 1,474 | Supreme Court of India | 2000–2024 | Medium (broad filter) |
| Karnataka HC | 2,139 | Karnataka High Court | 2018–2024 | High (482 confirmed) |
| **Total** | **3,613** | | | |
| Combined HC    | 3,423 | Karnataka + Delhi + others | 2018–2024 | Mixed |
| **Grand Total**| **4,897** |                       |           |       |

## Key Statistics

| Metric | Value |
|--------|-------|
| Total cases | 3,613 |
| SC quash success rate | 57.6% |
| HC (Karnataka) quash success rate | 39.7% |
| Cases with CrPC 482 | 2,179 |
| Cases with IPC 498A | 192 |
| KG nodes | 1,520 |
| KG edges | 13,364 |

## Columns

### SC sub-corpus (`sc_enriched.csv`)

| Column | Description |
|--------|-------------|
| case_id | Stable identifier |
| title | Case title |
| petitioner / respondent | Party names |
| year | Year (2000–2024) |
| case_type | quash / appeal / maintenance / bail / other |
| outcome | quashed / allowed / dismissed / settled / disposed / partly_allowed |
| statutes | Pipe-delimited statute list |
| disposal_nature | Raw disposal string |
| mediation_mentioned | bool |
| settlement_mentioned | bool |
| relatives_accused | bool |
| judicial_criticism_misuse | bool |
| arnesh_kumar_cited | bool |
| rajesh_sharma_cited | bool |

### HC Karnataka sub-corpus (`hc_karnataka.csv`)

| Column | Description |
|--------|-------------|
| title | Case title (CRL.P/NNNNN/YYYY format) |
| judge | Presiding judge |
| decision_date | Date of judgment |
| disposal_nature | ALLOWED / DISMISSED / DISPOSED / Partly Allowed |
| outcome | quashed / dismissed / disposed / partly_allowed |
| _year | Year (2018–2024) |
| _bench | Bench (karhcdharwad / karhckalaburagi / karnataka_bng_old) |
| statutes | CrPC 482 (all cases) |
| case_type | quash (all cases) |

## Data Sources

Both sub-corpora built from AWS Open Data (no credentials needed):
- `s3://indian-supreme-court-judgments/`
- `s3://indian-high-court-judgments/`

## Usage

```python
from datasets import load_dataset

# Supreme Court cases
sc = load_dataset("joyboseroy/imljd", "sc")

# Karnataka HC quash petitions  
hc = load_dataset("joyboseroy/imljd", "hc_karnataka")

# Basic analysis
import pandas as pd
df = pd.DataFrame(sc["train"])
quash = df[df["case_type"] == "quash"]
print(f"SC quash success rate: {(quash['outcome']=='quashed').mean()*100:.1f}%")
```

## Knowledge Graph

A NetworkX/GEXF knowledge graph is included in the repository:
- Nodes: Case, Statute, Court, Outcome, Precedent, Year
- Edges: INVOKES, HEARD_BY, RESULTS_IN, CITES, DECIDED_IN

Open `data/kg/imljd_graph.gexf` in Gephi for visualisation.

## Ethical Considerations

- Public court judgments only
- Names present as in original public records
- Recommended: anonymisation pass before NLP model training
- Not suitable for "false case detection" — ground truth doesn't exist cleanly
- Framing: procedural fairness research, not case outcome prediction

## Citation

```bibtex
@dataset{boseroy2026imljd,
  title   = {IMLJD: Indian Matrimonial Litigation Judgment Dataset},
  author  = {Bose, Joy},
  year    = {2026},
  url     = {https://huggingface.co/datasets/joyboseroy/imljd},
  note    = {3,613 cases, Supreme Court 2000-2024 and Karnataka HC 2018-2024}
}
```

Related work:
```bibtex
@article{boseroy2026falkor,
  title  = {FalkorDB-IRAC: Graph-Grounded Legal Reasoning},
  author = {Bose, Joy},
  year   = {2026},
  url    = {https://arxiv.org/abs/2605.14665}
}
```